├── .gitignore ├── README.md ├── class 01 Introduction to Python └── class01 Introduction to DS with Python.ipynb ├── class 02 Intermediate Python ├── Case Study (Hacker Statistics).ipynb └── class 02 Intermediate Python.ipynb ├── class 03 Data manipulation with Pandas └── class 03 Data Manipulation with Pandas.ipynb ├── class 04 Joining Data with Pandas ├── class 04 joining data with pandas.ipynb ├── join_pandas_class1.ipynb ├── join_pandas_class2.ipynb ├── join_pandas_class3.ipynb └── join_pandas_class4.ipynb ├── class 05 Introduction to data visualization with matplotlib ├── Matplotlib_cheat.pdf ├── class1_intro matplotlib.ipynb ├── class2_plotting time series.ipynb ├── class3_quantitative comparisons.ipynb ├── class4_prepare for share.ipynb ├── matplotlib_cheat_1.pdf └── sports_weights.png ├── class 06 Introduction to data visualization with seaborn ├── class1 Introduction to seabron.ipynb ├── class2 Visualizing Two Quantitative Variables.ipynb ├── class3 Visualizing a Categorical and a Quantitative Variable.ipynb └── class4 Customizing Seaborn Plots.ipynb ├── class 07 Python Data Science toolbox ├── Python For Data Science .pdf ├── class03 Bringing it all together! (Case Study).ipynb ├── class1 user defined functions.ipynb └── class2 Using iterators in PythonLand.ipynb ├── class 08 Intermediate Data Visualization with Seaborn ├── class01 Seaborn Introduction.ipynb ├── class02 Customizing Seaborn Plots.ipynb ├── class03 Additional Plot Types.ipynb ├── class04 Creating Plots on Data Aware Grids.ipynb ├── datasets │ ├── FY18_4050_FMRs.csv │ ├── Inpatient_Prospective_Payment_System.csv │ ├── bike_share.csv │ ├── college_datav3.csv │ ├── daily_show_guests_cleaned.csv │ ├── insurance_premiums.csv │ ├── schoolimprovement2010grants.csv │ └── wines.csv └── seaborn cheatsheet.pdf └── class 09 Introduction to Importing Data in Python ├── class 01 Importing from files, numpy, pandas.ipynb ├── class 02 Introduction to other file types-Copy1.ipynb └── class 03 Introduction to other file types.ipynb /.gitignore: -------------------------------------------------------------------------------- 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